- Network Architecture
- Deep Learning
- Computer Vision
- Feature Engineering
- Transfer Learning
- Visualization (Computer Graphics)
- Machine Learning Algorithms
- Model Evaluation
- Machine Learning Methods
- Convolutional Neural Networks
- Classification Algorithms
Introduction to Computer Vision and Image Processing
Completed by Mohammad Zain Ul Abdeen
April 9, 2020
23 hours (approximately)
Mohammad Zain Ul Abdeen's account is verified. Coursera certifies their successful completion of Introduction to Computer Vision and Image Processing
What you will learn
Hands-on skills to apply computer vision across industries such as robotics, autonomous systems, and augmented reality
Practical techniques to process, analyze, and interpret images for intelligent visual insights
How to use Python, Pillow, and OpenCV to perform image filtering, enhancement, classification, and object detection
Step-by-step guidance to build and train an image classifier using supervised learning methods
Skills you will gain
